Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases
(1) Background: Stereological estimations significantly contributed to our understanding of lung anatomy and physiology. Taking stereology fully 3-dimensional facilitates the estimation of novel parameters. (2) Methods: We developed a protocol for the analysis of all airspaces of an entire lung. It...
| Main Authors: | , , , , , , , , , , , |
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| Format: | Article |
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MDPI AG
2023-09-01
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| Online Access: | https://www.mdpi.com/2073-4409/12/19/2375 |
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| author | Sanja Blaskovic Pinelopi Anagnostopoulou Elena Borisova Dominik Schittny Yves Donati David Haberthür Zhe Zhou-Suckow Marcus A. Mall Christian M. Schlepütz Marco Stampanoni Constance Barazzone-Argiroffo Johannes C. Schittny |
| author_facet | Sanja Blaskovic Pinelopi Anagnostopoulou Elena Borisova Dominik Schittny Yves Donati David Haberthür Zhe Zhou-Suckow Marcus A. Mall Christian M. Schlepütz Marco Stampanoni Constance Barazzone-Argiroffo Johannes C. Schittny |
| author_sort | Sanja Blaskovic |
| collection | DOAJ |
| description | (1) Background: Stereological estimations significantly contributed to our understanding of lung anatomy and physiology. Taking stereology fully 3-dimensional facilitates the estimation of novel parameters. (2) Methods: We developed a protocol for the analysis of all airspaces of an entire lung. It includes (i) high-resolution synchrotron radiation-based X-ray tomographic microscopy, (ii) image segmentation using the free machine-learning tool Ilastik and ImageJ, and (iii) calculation of the airspace diameter distribution using a diameter map function. To evaluate the new pipeline, lungs from adult mice with cystic fibrosis (CF)-like lung disease (βENaC-transgenic mice) or mice with elastase-induced emphysema were compared to healthy controls. (3) Results: We were able to show the distribution of airspace diameters throughout the entire lung, as well as separately for the conducting airways and the gas exchange area. In the pathobiological context, we observed an irregular widening of parenchymal airspaces in mice with CF-like lung disease and elastase-induced emphysema. Comparable results were obtained when analyzing lungs imaged with μCT, sugges-ting that our pipeline is applicable to different kinds of imaging modalities. (4) Conclusions: We conclude that the airspace diameter map is well suited for a detailed analysis of unevenly distri-buted structural alterations in chronic muco-obstructive lung diseases such as cystic fibrosis and COPD. |
| first_indexed | 2024-03-10T21:47:45Z |
| format | Article |
| id | doaj.art-8895d82580dc41309693403244da9e59 |
| institution | Directory Open Access Journal |
| issn | 2073-4409 |
| language | English |
| last_indexed | 2024-03-10T21:47:45Z |
| publishDate | 2023-09-01 |
| publisher | MDPI AG |
| record_format | Article |
| series | Cells |
| spelling | doaj.art-8895d82580dc41309693403244da9e592023-11-19T14:12:55ZengMDPI AGCells2073-44092023-09-011219237510.3390/cells12192375Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung DiseasesSanja Blaskovic0Pinelopi Anagnostopoulou1Elena Borisova2Dominik Schittny3Yves Donati4David Haberthür5Zhe Zhou-Suckow6Marcus A. Mall7Christian M. Schlepütz8Marco Stampanoni9Constance Barazzone-Argiroffo10Johannes C. Schittny11Institute of Anatomy, University of Bern, 3012 Bern, SwitzerlandMedical School, University of Cyprus, Nicosia 2029, CyprusInstitute of Anatomy, University of Bern, 3012 Bern, SwitzerlandInstitute of Anatomy, University of Bern, 3012 Bern, SwitzerlandDepartment of Pediatrics, Gynecology and Obstetrics, Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1211 Genève, SwitzerlandInstitute of Anatomy, University of Bern, 3012 Bern, SwitzerlandDepartment of Translational Pulmonology, University Hospital Heidelberg, Translational Lung Research Center (TLRC), A Member of German Center for Lung Research (DZL), 69120 Heidelberg, GermanyDepartment of Pediatric Respiratory Medicine, Immunology and Critical Care Medicine, Charité-Universitätsmedizin Berlin, 10115 Berlin, GermanySwiss Light Source, Paul Scherrer Institute, 5232 Villigen, SwitzerlandSwiss Light Source, Paul Scherrer Institute, 5232 Villigen, SwitzerlandDepartment of Pediatrics, Gynecology and Obstetrics, Faculty of Medicine, University of Geneva, 4 rue Gabrielle-Perret-Gentil, 1211 Genève, SwitzerlandInstitute of Anatomy, University of Bern, 3012 Bern, Switzerland(1) Background: Stereological estimations significantly contributed to our understanding of lung anatomy and physiology. Taking stereology fully 3-dimensional facilitates the estimation of novel parameters. (2) Methods: We developed a protocol for the analysis of all airspaces of an entire lung. It includes (i) high-resolution synchrotron radiation-based X-ray tomographic microscopy, (ii) image segmentation using the free machine-learning tool Ilastik and ImageJ, and (iii) calculation of the airspace diameter distribution using a diameter map function. To evaluate the new pipeline, lungs from adult mice with cystic fibrosis (CF)-like lung disease (βENaC-transgenic mice) or mice with elastase-induced emphysema were compared to healthy controls. (3) Results: We were able to show the distribution of airspace diameters throughout the entire lung, as well as separately for the conducting airways and the gas exchange area. In the pathobiological context, we observed an irregular widening of parenchymal airspaces in mice with CF-like lung disease and elastase-induced emphysema. Comparable results were obtained when analyzing lungs imaged with μCT, sugges-ting that our pipeline is applicable to different kinds of imaging modalities. (4) Conclusions: We conclude that the airspace diameter map is well suited for a detailed analysis of unevenly distri-buted structural alterations in chronic muco-obstructive lung diseases such as cystic fibrosis and COPD.https://www.mdpi.com/2073-4409/12/19/2375lung diseasecystic fibrosispulmonary emphysemaimage analysisartificial intelligenceX-ray tomographic microscopy |
| spellingShingle | Sanja Blaskovic Pinelopi Anagnostopoulou Elena Borisova Dominik Schittny Yves Donati David Haberthür Zhe Zhou-Suckow Marcus A. Mall Christian M. Schlepütz Marco Stampanoni Constance Barazzone-Argiroffo Johannes C. Schittny Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases Cells lung disease cystic fibrosis pulmonary emphysema image analysis artificial intelligence X-ray tomographic microscopy |
| title | Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases |
| title_full | Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases |
| title_fullStr | Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases |
| title_full_unstemmed | Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases |
| title_short | Airspace Diameter Map—A Quantitative Measurement of All Pulmonary Airspaces to Characterize Structural Lung Diseases |
| title_sort | airspace diameter map a quantitative measurement of all pulmonary airspaces to characterize structural lung diseases |
| topic | lung disease cystic fibrosis pulmonary emphysema image analysis artificial intelligence X-ray tomographic microscopy |
| url | https://www.mdpi.com/2073-4409/12/19/2375 |
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